Results 11 to 20 of about 95,703 (260)
Unsupervised Classification of Quantum Data [PDF]
Physical Review X, 2019 We introduce the problem of unsupervised classification of quantum data, namely, of systems whose quantum states are unknown. We derive the optimal single-shot protocol for the binary case, where the states in a disordered input array are of two types ...
Gael Sentís +4 more
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Unsupervised Classification for Circulating Tumor Cells
IEEE AccessCirculating tumor cell (CTC) detection is crucial for reducing cancer mortality and disease burden. Traditional methods rely on the physical or biological properties of CTCs and involve complex enrichment and separation processes. These methods are often
Ling An +9 more
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Interpretable and unsupervised phase classification
Physical Review Research, 2021 Fully automated classification methods that provide direct physical insights into phase diagrams are of current interest. Interpretable, i.e., fully explainable, methods are desired for which we understand why they yield a given phase classification ...
Julian Arnold +3 more
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Self-supervised Regularization for Text Classification
Transactions of the Association for Computational Linguistics, 2021 Text classification is a widely studied problem and has broad applications. In many real-world problems, the number of texts for training classification models is limited, which renders these models prone to overfitting.
Meng Zhou, Zechen Li, Pengtao Xie
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Mathematics, 2021 With unlabeled music data widely available, it is necessary to build an unsupervised latent music representation extractor to improve the performance of classification models.
Lvyang Qiu, Shuyu Li, Yunsick Sung
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Unsupervised Classification of Opinions
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2016 Opinion mining is gaining more interest thanks to the ever growing data available on the internet. This work proposes an unsupervised approach that clusters opinions in fine grain ranges. The approach is able to generate its own seed words for better applicability to the context and eliminating user input.
Vlad Vasile Itu +2 more
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Acta Geographica Slovenica, 2019 Supervised and unsupervised classification methods can be a useful tool in determining various geographical spatial divisions, especially regionalizations and typifications.
Drago Perko, Rok Ciglič, Mauro Hrvatin
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SN Applied Sciences, 2022 The study of land use land cover has become increasingly significant with the availability of remote sensing data. The main objective of this study is to delineate geohazard-prone areas using semi-automatic classification technique and Sentinel-2 ...
Karma Tempa, Komal Raj Aryal
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Unsupervised Classification of Planning Instances
Proceedings of the International Conference on Automated Planning and Scheduling, 2017 In this paper we introduce a novel approach for unsupervised classification of planning instances based on the recent formalism of planning programs. Our approach is inspired by structured prediction in machine learning, which aims at predicting structured information about a given input rather than a scalar value.
Segovia-Aguas, Javier +2 more
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Applied Sciences, 2021 The task of unsupervised anomalous sound detection (ASD) is challenging for detecting anomalous sounds from a large audio database without any annotated anomalous training data.
Yaoguang Wang +6 more
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